CODE MOVED HERE --- https://github.com/RohitDhankar/dcGIS

QGIS with Python - GeoSpatial for Good

This repository will contain both code and additional eading material refrences for QGIS(Quantum GIS) with Python support and some of the prominent GeoSpatial and LiDAR data related analytics. - QGIS 2020

Are you a QGIS developer or a GeoSpatial Scientist - kindly feel free to contribute.

Table of Contents of this repository

• QGIS-RasterData
• QGIS-VectorData
• QGIS-GoogleEarthEngine
• QGIS-GDAL

References - Work in Progress

Cellular Automata Technique for Urban Growth Simulation

• QGIS-Cellular Automata

• Source URL - https://www.youtube.com/watch?v=CPe7bfYOntQ

• A Cellular Automata Land-Use Model For The R Software Environment

• Source URL - https://www.youtube.com/watch?v=iSZJNPm2UPY

Delhi Raster Data - Source - Data for: Monitoring and Modeling of Spatio-Temporal Urban Growth of Delhi, India using Cellular Automata and Geoinformatics

• Source URL - https://data.mendeley.com/datasets/8thw5fb2t3/1

• DataSet Citation -- DOI: 10.17632/8thw5fb2t3.1

• QGIS Delhi raster Image - Copyright of the source sited above - https://ars.els-cdn.com/content/image/1-s2.0-S0264275118303871-ga1_lrg.jpg

• QGIS_GEE_GoogleEarthEngine_Plugin_2020-06-14 18-27-47.png

GDAL

GDAL is a translator library for raster and vector geospatial data formats that is released under an X/MIT style Open Source License by the Open Source Geospatial Foundation. As a library, it presents a single raster abstract data model and single vector abstract data model to the calling application for all supported formats. It also comes with a variety of useful command line utilities for data translation and processing. The NEWS page describes the May 2020 GDAL/OGR 3.1.0 release.

• Source URL - https://gdal.org/

Rohit Dhankar - https://www.linkedin.com/in/rohitdhankar/